Job Description

[What the role is]

Through this hands-on experience, interns will gain practical exposure to how data supports decision-making and operational excellence in a government environment. You will work with cross-functional teams to support data reconciliation, analytics, and business intelligence initiatives, contributing to SLA's data and digital transformation efforts.

[What you will be working on]

Data Reconciliation & Quality

• Support the reconciliation of datasets across systems and sources to ensure consistency and accuracy.
• Assist in identifying and investigating data discrepancies and document findings and resolutions.
• Contribute to data quality checks and help flag and document issues to support governance and accountability purposes.

Data Analytics & Insights

• Assist in analysing datasets to surface trends, patterns, and insights that support business and operational decisions.
• Support the preparation of data outputs and summaries for use by internal stakeholders.
• Help document analytical approaches, assumptions, and outcomes in a clear and structured manner.

Business Intelligence & Reporting

• Support the development and maintenance of dashboards and reports to meet stakeholder needs.
• Assist in translating business requirements into visualisations and BI outputs.
• Work with the team to ensure reports are accurate, timely, and accessible to intended users.

Project Coordination & Documentation

• Support tracking of tasks, deliverables, and milestones across data and analytics initiatives.
• Coordinate inputs across data, business, and technical teams.
• Prepare documentation, summaries, and materials for project discussions and updates.

[What we are looking for]

• Student pursuing studies in Computer Science, Data Science, Information Systems, Engineering, or related fields.
• Understanding of how data quality and integrity impact analytical outcomes, with the ability to communicate clearly and document work in a structured manner.
• Comfortable working with Python and datasets, and keen to independently explore and pick up new tools and platforms as required by the work.
• Curious, proactive, and willing to engage with both technical and business teams, and adaptable to working across multiple workstreams.
• Responsible and mindful of data security, governance, and privacy considerations.
• Previous coursework, projects, or internships involving data, analytics, or business intelligence are advantageous.
• Adaptable and open to working across multiple workstreams
• Positive mindset and willing to learn about complex organisational challenges
• Adaptability and willingness to learn
• Responsible and positive mindset
• Able to commit full time from October 2026 to March 2027 / November 2026 to April 2027 / November 2026 to May 2027 for at least 3 to 6 months.
• Please include your availability in your CV.